Laura Slaughter

2.1k citations
59 papers · 1.5k · h-index 20

Impact in

    • Sexual Assault and Victimization Studies
  • Health top 5%
    • Intimate Partner and Family Violence

Papers in

Laura Slaughter

58 papers receiving 1.4k citations

Peers

Laura Slaughter
Comparison fields: 5 of 139
  • Gender Studies 256
  • Health 214
  • Medical Terminology 5
  • Toxicology 61
  • Health Information Management 78
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Citations per field
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Citations per year

Countries citing papers authored by Laura Slaughter

Since Specialization
Citations

This map shows the geographic impact of Laura Slaughter's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Laura Slaughter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Slaughter more than expected).

Fields of papers citing papers by Laura Slaughter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Slaughter. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Laura Slaughter. The network helps show where Laura Slaughter may publish in the future.

Co-authors

The 25 scholars most cited alongside Laura Slaughter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Laura Slaughter Line = papers co-authored together Laura Slaughter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978203
2 1997175
3 1973165
4
Involvement of drugs in sexual assault.
2000139
5 199287
6 199882
7
Towards consumer-friendly PHRs: patients' experience with reviewing their health records.
200767
8 198153
9
Questionnaire Administration Via the WWW: A Validation & Reliability Study for a User Satisfaction Questionnaire.
199746
10 200546
11 199841
12
Designing tailored Internet support to assist cancer patients in illness management.
200736
13 200533
14
Text characteristics of clinical reports and their implications for the readability of personal health records.
200733
15
Helping healthcare consumers understand: an "interpretive layer" for finding and making sense of medical information.
200427
16 198126
17 201124
18 200523
19 200022
20 199121

About Laura Slaughter

Laura Slaughter is a scholar working on Artificial Intelligence, Molecular Biology, General Health Professions, Computer Vision and Pattern Recognition and Health Information Management, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (18 papers), Semantic Web and Ontologies (8 papers), Electronic Health Records Systems (6 papers), Health Literacy and Information Accessibility (5 papers), Sexual Assault and Victimization Studies (5 papers), Video Analysis and Summarization (4 papers), Topic Modeling (4 papers) and Machine Learning in Healthcare (4 papers). The work is most often cited by research in Gender Studies (256 citations), Health (214 citations), Medical Terminology (5 citations), Toxicology (61 citations) and Health Information Management (78 citations). Laura Slaughter has collaborated with scholars based in United States, Norway and Spain. Frequent co-authors include Carl R. V. Brown, Albert Starr, James E. Morris, Dennis A. Carson, Roxy Peck, Ernest S. Barratt, Tim Holbrook, J H Vaughan, Fred C. Jensen and Alla Keselman. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Contraception, Journal of Biomedical Informatics, D-Lib Magazine and The Journal of Experimental Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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